Determining resting heart rate using wearable device

• US 10,159,438 B2
• Filed: 06/15/2015
• Issued: 12/25/2018
• Est. Priority Date: 06/15/2015
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Fung, Han Yee Mimi, Albadawi, Haithem
• Primary Examiner(s): Johnson, Nicole F
• Assistant Examiner(s): Lavert, Nicole F.
• Application Number:
  US14/740,178
• Publication Number:
  US 20160361011A1
• Time in Patent Office: 1,289 Days
• Field of Search: 607 4, 600479
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence

Abstract

A wearable device is described. The wearable device comprises: a device body configured to be secured in contact with a subject; a first sensor borne by the device body that is activatable to measure a heart rate of the subject; and control logic configured to activate the first sensor during a monitoring period during which the subject is determined to be in a sleep period.

Claims

1. A method in a computing system for determining a minimum heart rate, comprising:

initializing a current minimum heart rate result;

during a period when a wearer of a wearable device is determined to be in a sleep period;

for each of a plurality of sampling periods;

obtaining via the wearable device a sequence of heart rate samples for the wearer;

assessing whether each of the heart rate samples is usable;

if at least a threshold percentage of the heart rate samples is assessed to be usable;

aggregating the heart rate samples assessed to be usable, wherein aggregating the heart rate samples comprises determining a value that is representative of the heart rate samples; and

if the aggregated heart rate samples are smaller than the current minimum heart rate result, blend the aggregated heart rate samples into the current minimum heart rate result.

2. The method of claim 1 wherein the assessing, aggregating, and blending are performed on the wearable device.

3. The method of claim 1 wherein the assessing, aggregating, and blending are performed on a computer system distinct from the wearable device.

4. The method of claim 1 wherein obtained heart rate samples span a monitoring period, the method further comprising activating a heart rate sensor in the wearable device during sampling periods that collectively amount to a minority of the monitoring period.

5. The method of claim 1, further comprising determining that the wearer is determined to be in a sleep period based upon explicit input from the wearer.

6. The method of claim 1, further comprising inferring that the wearer is determined to be in a sleep period.

7. A computer-readable medium storing a resting heart rate data structure for a subject, the data structure comprising:

a plurality of entries, each entry corresponding to a different sleep period of the subject, each entry comprising;

a quantitative indication of a resting heart rate for the subject, the indication having been generated from heart rate samples captured from the subject by a wearable device during the sleep period.

8. The computer-readable medium of claim 7 wherein the quantitative indication of each entry has been generated from the heart rate samples captured from the subject by a wearable device during a minority of the length of the sleep period.

9. The computer-readable medium of claim 7 wherein the quantitative indication of each entry has been generated from heart rate samples filtered to exclude heart rate samples having an inadequate quality level.

10. A computer-readable medium having contents configured to cause a computing system to perform a method for determining a minimum heart rate, the method comprising:

initializing a current minimum heart rate result;

during a period when a wearer of a wearable device is determined to be in a sleep period;

for each of a plurality of sampling periods;

obtaining via the wearable device a sequence of heart rate samples for the wearer;

assessing whether each of the heart rate samples is usable;

if at least a threshold percentage of the heart rate samples is assessed to be usable;

aggregating the heart rate samples assessed to be usable, wherein aggregating the heart rate samples comprises determining a value that is representative of the heart rate samples; and

if the aggregated heart rate samples are smaller than the current minimum heart rate result, blend the aggregated heart rate samples into the current minimum heart rate result.

11. The computer-readable medium of claim 10 wherein the assessing, aggregating, and blending are performed on the wearable device.

12. The computer-readable medium of claim 10 wherein the assessing, aggregating, and blending are performed on a computer system distinct from the wearable device.

13. The computer-readable medium of claim 10 wherein obtained heart rate samples span a monitoring period, the method further comprising activating a heart rate sensor in the wearable device during sampling periods that collectively amount to a minority of the monitoring period.

14. The computer-readable medium of claim 10, the method further comprising determining that the wearer is determined to be in a sleep period based upon explicit input from the wearer.

15. The computer-readable medium of claim 10, the method further comprising inferring that the wearer is determined to be in a sleep period.